W. Gatling

2.7k citations
38 papers · 1.9k indexed · 1 hit paper · h-index 21
Topics
Diabetes, Cardiovascular Risks, and Lipoproteins (15 papers)Diabetes Management and Education (7 papers)Diabetes Management and Research (7 papers)

In The Last Decade

W. Gatling

35 papers receiving 1.8k citations

Hit Papers

Mortality from heart disease in a cohort of 23,000 patien...20032026201020182003100200300400500

Peers

W. Gatling
Comparison fields: 5 of 105
  • Endocrinology, Diabetes and Metabolism 1.2k
  • Cardiology and Cardiovascular Medicine 440
  • Surgery 349
  • Molecular Biology 309
  • Epidemiology 288
Replace Jan Cederholm with:
Jan Cederholm Sweden
Ming Wai Yeung Hong Kong
Hiroshi Noto Japan
Gregory Fulcher Australia
Janusz Gumprecht Poland
Richard C. Eastman United States
N Thibult France
Amy K. Mottl United States
Aart H. Bootsma Netherlands
Mari-Anne Gall Denmark
W. Gatling relative to Jan Cederholm Sweden Jan Cederholm's profile →
Citations per field
00.5×1.5×
Jan Cederholm · 1×
Citations per year

Countries citing papers authored by W. Gatling

Since Specialization
Citations

This map shows the geographic impact of W. Gatling's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by W. Gatling with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites W. Gatling more than expected).

Fields of papers citing papers by W. Gatling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by W. Gatling. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by W. Gatling. The network helps show where W. Gatling may publish in the future.

Co-authorship network of co-authors of W. Gatling

This figure shows the co-authorship network connecting the top 25 collaborators of W. Gatling. A scholar is included among the top collaborators of W. Gatling based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with W. Gatling. W. Gatling is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 8
2 149
3 0
4 85
5 123
6 24
7
Mortality from heart disease in a cohort of 23,000 patients with insulin-treated diabetesbreakdown →
547
8 32
9 2
10 55
11 30
12 46
13 86
14 6
15 35
16 109
17 6
18 1
19 1
20 49

About W. Gatling

W. Gatling is a scholar working on Endocrinology, Diabetes and Metabolism, Nephrology and Health Information Management, having authored 38 papers that have together received 1.9k indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (15 papers), Diabetes Management and Education (7 papers) and Diabetes Management and Research (7 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.2k citations), Nephrology (234 citations) and Cardiology and Cardiovascular Medicine (440 citations). W. Gatling has collaborated with scholars based in United Kingdom and United States. Frequent co-authors include R.D. Hill, Mark Mullee, Anthony J. Swerdlow, S. P. Laing, A C Burden, Norman Waugh, Andrew D. Morris, S. D. Slater, C Knight and P. J. Bingley. Their work appears in journals such as The Lancet, Diabetes Care and Stroke.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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